Multi-Object Tracking as Attention Mechanism

no code implementations • 12 Jul 2023 • Hiroshi Fukui, Taiki Miyagawa, Yusuke Morishita

We propose a conceptually simple and thus fast multi-object tracking (MOT) model that does not require any attached modules, such as the Kalman filter, Hungarian algorithm, transformer blocks, or graph networks.

Multi-Object Tracking Object

Embedding Human Knowledge into Deep Neural Network via Attention Map

no code implementations • 9 May 2019 • Masahiro Mitsuhara, Hiroshi Fukui, Yusuke Sakashita, Takanori Ogata, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

As a result, the fine-tuned network can output an attention map that takes into account human knowledge.

Attention Branch Network: Learning of Attention Mechanism for Visual Explanation

3 code implementations • CVPR 2019 • Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

ABN can be applicable to several image recognition tasks by introducing a branch for attention mechanism and is trainable for the visual explanation and image recognition in end-to-end manner.

Decision Making Image Classification

Filmy Cloud Removal on Satellite Imagery with Multispectral Conditional Generative Adversarial Nets

no code implementations • 13 Oct 2017 • Kenji Enomoto, Ken Sakurada, Weimin WANG, Hiroshi Fukui, Masashi Matsuoka, Ryosuke Nakamura, Nobuo Kawaguchi

The networks are trained to output images that are close to the ground truth using the images synthesized with clouds over the ground truth as inputs.

Cloud Removal